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Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision

Overview of attention for article published in BMC Medical Research Methodology, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision
Published in
BMC Medical Research Methodology, September 2021
DOI 10.1186/s12874-021-01383-x
Pubmed ID
Authors

Chinmay Belthangady, Will Stedden, Beau Norgeot

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Doctoral Student 1 13%
Other 1 13%
Student > Ph. D. Student 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 13%
Business, Management and Accounting 1 13%
Computer Science 1 13%
Medicine and Dentistry 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2021.
All research outputs
#3,632,999
of 23,310,485 outputs
Outputs from BMC Medical Research Methodology
#545
of 2,057 outputs
Outputs of similar age
#78,526
of 432,955 outputs
Outputs of similar age from BMC Medical Research Methodology
#15
of 53 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.